Field Patch Extraction Based on High-Resolution Imaging and U<sup>2</sup>-Net++ Convolutional Neural Networks

Field Patch Extraction Based on High-Resolution Imaging and U<sup>2</sup>-Net++ Convolutional Neural Networks

Accurate extraction of farmland boundaries is crucial for improving the efficiency of farmland surveys, achieving precise agricultural management, enhancing farmers’ production conditions, protecting the ecological environment, and promoting local economic development. Remote sensing and deep learni...

Full description

Bibliographic Details
Main Authors: Chen Long, Song Wenlong, Sun Tao, Lu Yizhu, Jiang Wei, Liu Jun, Liu Hongjie, Feng Tianshi, Gui Rongjie, Haider Abbas, Meng Lingwei, Lin Shengjie, He Qian
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Remote Sensing
Subjects:
high-resolution remote sensing imagery
depth-wise separable convolution
channel-spatial attention mechanism
deep learning
farmland parcel extraction
Online Access:https://www.mdpi.com/2072-4292/15/20/4900

Similar Items

Similar Items